u/Altruistic_Tax1317

MiniMax H3 is great, but it’s a total compute hog.

I tested two ways to speed it up—Turbo LoRA (reducing step counts) and Kitchen Attention (faster per-step backend)—using the exact same prompt, seed, and resolution.

Video review here

Edit: Here’s the workflow, if you want to test it out - https://drive.google.com/file/d/1425fNNR_C9ErIiutR_FBhtQlOKzJ_Tfh/view?usp=sharing

The Breakdown:

• Turbo LoRA: Cuts steps, but quality tanks. At 8 steps it gets soft and drifts; by 4 steps it's completely broken with heavy face artifacts.

• Kitchen Attention: Keeps all 20 steps, but chops ~30% off the render time with zero quality loss. Just update ComfyUI and set it in the attention backend node.

• LoRA + Kitchen Attention: The backend isn't causing the artifacts—the LoRA is.

audio stays decent at low steps even while the visuals fall apart.

Verdict: Skip the Turbo LoRA for now. Kitchen Attention is basically a free 30% speed boost, so just leave that on.

Tested out a full UGC pipeline locally using the new MiniMax H3 model.

Process:

1. Prepared source assets: Product image + Presenter holding product.
2. Wrote the MiniMax prompt.
3. Generated locally (took 9 minutes).

Pretty cool to see local video generation getting this good and usable for UGC-style content.
What do you guys think?

prompt details:

Product image prompt

Clean commercial product photograph of a 30ml frosted glass serum dropper bottle standing upright on a seamless pale grey surface, matte black dropper cap, minimal typographic label reading "AVELINE" in thin sans-serif capitals, soft large-source lighting from upper left, gentle falloff, one soft shadow to the right of the bottle, subtle specular highlight down the left edge of the glass, shallow depth of field, square crop, photoreal, no props, no hands, no text overlays.

2. Driven image prompt — this is <Picture 1>

Photoreal vertical smartphone selfie, 9:16, shot at arm's length. A woman in her mid-twenties with damp dark brown hair pushed back off her forehead, bare skin with visible pores and light freckles across the nose, no makeup, a thin gold chain, wearing an oversized cream ribbed sweatshirt with the collar slightly stretched. She holds a 30ml frosted glass serum dropper bottle with a matte black cap and a thin sans-serif label reading "AVELINE" up near her jaw in her right hand, fingers wrapped naturally around the glass. She is in a small bathroom, soft overcast daylight from a window at frame left, out-of-focus white tile and a folded towel behind her right shoulder. Slightly imperfect framing with her head off-centre and headroom cropped tight, faint sensor noise, front-camera softness, no studio lighting, no retouching, no beauty filter, no text overlay.

3. MiniMax H3 — I2VA, 15.00s, one continuous take

For the target video, at 0.00 seconds into the target video, <Picture 1> (from [Shot 1]) is fully referenced.

integrated_multimodal_description: [Shot 1] Live-action, photoreal vertical smartphone footage with faint sensor noise and front-camera softness, soft overcast daylight from frame left, out-of-focus white tile behind the subject. The shot opens exactly as framed in the reference: a woman in her mid-twenties with damp dark brown hair pushed off her forehead, bare unretouched skin with visible pores and light freckles, a thin gold chain, an oversized cream ribbed sweatshirt, holding a frosted glass dropper bottle with a matte black cap and a thin label reading "AVELINE" near her jaw in her right hand. The camera is handheld at arm's length and shakes slightly with small amplitude throughout, drifting a few degrees off level and correcting. She looks straight into the lens. The woman (S1), a woman in her mid-twenties with a bright mid-range voice, a fast conversational rate, and a light American accent, speaking on camera, tips her head in and says: <d>[English] Okay, I have to talk about this, because my skin was a disaster in January.</d> At 00:04.000 she turns the bottle so the label faces the lens and taps the glass twice with her thumbnail, then says: <d>[English] Three weeks. Two drops, every night. That is the whole routine.</d> At 00:08.000 she lowers the bottle out of the bottom of frame, brings her free hand up and presses two fingertips flat against her cheekbone, drawing the skin taut and releasing it, and says: <d>[English] My makeup sits flat now. No flaking, no tight feeling.</d> At 00:12.500 she lifts the bottle back into frame beside her face, raises her eyebrows once, and says: <d>[English] It is linked below. Go.</d> She holds the bottle up as the handheld drift settles and the shot ends.

overall_soundscape: Close bathroom room tone with a faint hard-surface reverb on her consonants and a distant extractor fan hum. Her thumbnail clicks twice against the glass bottle, and fabric brushes the microphone as her arm moves. A short breathy laugh escapes on the last word.

non_diegetic_music: A bright four-on-the-floor electronic pop loop at a fast tempo with a plucked synth arpeggio, a soft clap layer on the backbeat, and a sub-bass pulse. It stays quiet under the first line, lifts one step in volume at eight seconds, and cuts to silence on the final word

Hey,

Just put together a quick video on MiniMax H3 in ComfyUI from my POV:https://www.youtube.com/watch?v=iWIBCEjGXdg

Nothing fancy or deep into acceleration methods (honestly, so far I feel like most of those methods just end up ruining the quality).

The main key I found is making sure you properly resize and match your reference images and videos to your output resolution and ratio before running them. It makes a huge difference in how the model responds. I also played with sound and voices, its pretty fast.

Check it out if you're experimenting with the model

Been playing with MiniMax H3 and the editing side is a good time.

The rough process: mask the region you want to change on the source (I've been using SAM to segment it), feed that plus your new content into H3, and the prompt tells it to fill the marked spot and keep everything else frame-for-frame. Once it clicks, swapping a background or filling a marked spot feels almost easy.

Is it real inpainting? Not yet — audio and video are tangled together under the hood, so proper latent masking is tricky. But drozbay on GitHub is working on an actual per-region masking fix, and I'm waiting on that to land. Shout out to him.

Not true inpainting, but true fun. Keep telling myself I'll stop, then do one more.

hey
Sorry for the inconvenience! I accidentally posted just the images earlier without the workflow or explanation, so I deleted the original post and reposted it with all the details

Krea2 doesn't support inpainting natively, so I put together a small workflow that gets it working using LanPaint KSampler + Differential Diffusion. Nothing fancy — just in case it's useful to anyone running into the same limitation.

the few settings that made a difference (mainly keeping the resolution small and bumping LanPaint's NumSteps to 10).

workflow

Video: short explanation

LanPaint repo: https://github.com/scraed/LanPaint

Hope it helps someone.
Have fun!

Hey, wanted to share this simple flux-2-klein-9b flow, to swap objects using a reference image. It’s pretty smooth - it uses SAM2 for the segmentation and SEEDVR to push the final result to 4K.

How to use it:

• Upload your base image.
• Drop in a reference image of the object you want to swap in.
• Type in which object you want to replace.

The workflow handles the prompting automatically to make sure everything blends in, and the SEEDVR upscale at the end keeps it looking sharp.

Hope you find it useful!
link - civitai